Normality testing is a fundamental component in statistical analysis, central to validating many inferential techniques that presume Gaussian behaviour of error terms ...

Multivariate normality testing plays a critical role in modern statistical analysis by evaluating whether a multivariate dataset conforms to the assumptions of a normal distribution. Such assessments ...

School of Psychology, Universidad Autónoma de Nuevo León, Nuevo León, Mexico. 1.1. The Summary of Five and Seven Numbers and Its Graphic Application In the first edition of the Elements of Statistics, ...

In this study, to power comparison test, different univariate normality testing procedures are compared by using new algorithm. Different univariate and multivariate test are also analyzed here. And ...

In statistical modeling and regression analysis, one of the assumptions is that the residuals (the differences between the observed values and the predicted values) should be normally distributed.

The goal of this project is to assess the normality of each dataset, apply appropriate statistical tests based on data distributions, and interpret the results to draw conclusions about the ...